---
title: "Dashboard"
output:
flexdashboard::flex_dashboard:
orientation: columns
vertical_layout: fill
source: embed
---
```{r}
library(tidyverse)
library(p8105.datasets)
library(plotly)
```
```{r}
data("nyc_airbnb")
#create subset
instacart = instacart %>%
select(order_dow, order_hour_of_day, aisle, product_name) %>%
filter(aisle %in% c("fresh fruits")) %>%
mutate(order_dow = recode(order_dow, `0` = "Sunday",
`1` = "Monday",
`2` = "Tuesday",
`3` = "Wednesday",
`4` = "Thursday",
`5` = "Friday",
`6` = "Saturday")) %>%
mutate(order_dow = factor(order_dow, levels = c("Sunday", "Monday", "Tuesday", "Wednesday", "Thursday", "Friday", "Saturday")))
```
Column {data-width=650}
-----------------------------------------------------------------------
### Chart A
```{r}
instacart %>%
group_by(product_name) %>%
summarize(n_obs = n()) %>%
slice_max(n_obs, n=20) %>%
plot_ly(x = ~product_name, y = ~n_obs, type = "bar")
```
Column {data-width=350}
-----------------------------------------------------------------------
### Chart B
```{r}
instacart %>%
group_by(product_name, order_dow) %>%
plot_ly(
y = ~order_hour_of_day, x = ~order_dow,
type = "box", colors = "viridis")
```
### Chart C
```{r}
instacart %>%
group_by(order_dow) %>%
summarize(number_products_ordered = n()) %>%
plot_ly(x = ~order_dow, y = ~number_products_ordered, type = "scatter", mode = "lines")
```